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Lead Analyst, Energy Forecasting – Advanced Analytics
GE VernovaLead analyst building GE Vernova’s next-generation energy forecasting platform. Developing models, data pipelines, automation, and AI-enabled analytics for power-system outlooks.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining analytical models for capacity expansion and forecasting, utilizing programming languages such as Python, R, and Julia. Proficient in data governance, large dataset management, and applying AI tools for enhanced decision support in energy analytics.
Highest-signal resume keywords
Python ProgrammingData Pipeline DevelopmentAI Application in AnalyticsEnergy System ModelingForecasting and Market Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningModel ValidationAnalytical Tool DevelopmentSensitivity AnalysisQuantitative Methods
Soft Skills
Strong Communication SkillsProblem-Solving
Tools & Technologies
SQLPower BICloud PlatformsAPIs
Industry Keywords
Energy AnalyticsPower MarketsGeneration TechnologiesEnergy Policy
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Build and maintain components of capacity expansion, production cost and dispatch models, and scenario and sensitivity analysis frameworks
- Translate business and domain inputs into structured, testable model logic
- Develop and maintain data pipelines for internal and external datasets
- Clean, transform, and validate large datasets for modeling use
- Support data governance practices and standardized modeling inputs
- Develop analytical tools in Python, R, Julia, or similar languages
- Automate recurring forecasting processes
- Contribute reusable code, libraries, and analytics modules
- Apply AI tools to extract and process structured and unstructured data
- Use AI-enabled approaches to summarize market reports and datasets and enhance modeling inputs
- Support experimentation with emerging AI methods across forecasting workflows
- Execute forecasting runs and calibrate, validate, and interpret model outputs
- Identify and resolve model, data, and workflow issues
- Improve forecasting model performance, scalability, and usability
- Partner with domain experts to understand assumptions, market logic, and forecasting requirements
- Analyze market trends and model outputs
- Prepare clear insights and decision-support materials for internal stakeholders
Requirements
What you’ll need- Bachelor’s degree in engineering, data science, economics, or a related field from an accredited university or college
- 3–5 years of experience in energy analytics, forecasting, power markets, advanced analytics, data science, or a related technical field with strong interest in energy
- Strong proficiency with modern analytical tools and programming languages such as Python, R, Julia, or similar
- Experience working with large datasets and analytical workflows
- Demonstrated experience applying AI, advanced analytics, data science, or quantitative methods in market analysis, forecasting, or decision support
- Experience with energy system models, including capacity expansion, production cost, dispatch, power system optimization, or related models
- Experience with data tools such as SQL, cloud platforms, APIs, Power BI, Python, or similar tools
- Familiarity with power markets, generation technologies, and energy policy
- Exposure to AI, machine learning, or generative AI tools in analytics workflows
- Experience transitioning analytical workflows from Excel into scalable modeling environments
- Experience building or modernizing analytics capabilities in an enterprise environment
- Strong oral and written communication skills, including the ability to distill complex issues into clear, simple messages
- Advanced degree such as an MBA, master’s degree, or PhD in a relevant field is desired
- Must be legally authorized to work in the United States
- Successful completion of a drug screen, as applicable
Benefits
Comp & perks- Competitive compensation
- Discretionary annual bonus
- Medical, dental, vision, and prescription drug coverage
- Health Coach from GE Vernova, a 24/7 nurse-based resource
- Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan
- Tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Access to Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Relocation assistance